Fully Automated Fabric Defect Detection Using Additive Wavelet Transform

Document Type : Original Article

Authors

1 Communication Department, High Institute for Engineering in Belbeis

2 Electronic and Communication Department, Faculty of Engineering, Zagazig University.

3 Electronic and communication Department, Egypt-Japan University of Science and Technology

4 The school of information technology and computer science Nile University Giza Egypt

5 Electronic and Communication Department, Faculty of Engineering, Menoufia University

Abstract

This paper introduces a proposed fabric defect detection technique based on additive wavelet transform. In this paper, à trous wavelet is utilized to extract the approximate sub image at an appropriate level. The objective of the proposed technique is to enhance energy of defective region and attenuate energy of background in the selected level. An improved thresholding method based on statistical calculation is used.

References

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Figure 9. Results of defected Box patterned images(broken end ,
thin bar , thick bar , hole) at level 4

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